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Crutchfield Information Metric: A Valid Tool for Quality Control of Multiparametric MRI Data?

  • Jens KleesiekEmail author
  • Armin Biller
  • Andreas J. Bartsch
  • Kai Ueltzhöffer
Conference paper
  • 617 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 574)

Abstract

We propose an information theoretic framework to automatically infer the physical relationship and asses the quality of multiparametric MRI sequences. The method is based on the Crutchfield information metric. This distance measure can be computed solely based on the voxel intensities. In a series of experiments we proof its usefulness. First, we show that given multiparametric MRI data sets it is possible to discover the physical relationship w.r.t. the acquisition parameters of the individual sequences. Next, we demonstrate that this relationship can be employed to perform a quality check of a large (\(N=216\)) data set by identifying faulty components, e.g. due to motion artifacts. Finally, we use a multidirectional diffusion weighted data set to confirm that the approach is fine grained enough to even detect small differences of diffusion vectors as well as the direction of the phase encoding of an echo planar imaging (EPI) sequence. Future work aims at transferring the preliminary results of these promising experiments into clinical routine and at standardizing MRI protocols for large scale clinical trials.

Keywords

Multiparametric MRI Crutchfield information metric MRI quality control Multidirectional diffusion weighted imaging 

Notes

Acknowledgements

Thanks to the anonymous reviewer who suggested the experiment with multiple diffusion directions. This work was supported by a postdoctoral fellowship from the Medical Faculty of the University of Heidelberg.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Jens Kleesiek
    • 1
    • 2
    • 3
    Email author
  • Armin Biller
    • 1
    • 3
  • Andreas J. Bartsch
    • 1
  • Kai Ueltzhöffer
    • 1
  1. 1.Division of NeuroradiologyHeidelberg University HospitalHeidelbergGermany
  2. 2.HCI/IWRHeidelberg UniversityHeidelbergGermany
  3. 3.Division of RadiologyGerman Cancer Research CenterHeidelbergGermany

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